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Related Questions
- How does the cosine learning rate schedule interact with the minimum learning rate, and are there scenarios where it's beneficial to set a nonzero minimum learning rate?
- Can the cosine learning rate schedule be problematic when there are multiple distinct phases of training, such as when pretraining is followed by fine-tuning?
- Does the cosine learning rate schedule provide sufficient regularization when fine-tuning a pre-trained model on a new task, and are there better alternatives for regularization?
- Are there common hyperparameters that need to be tuned when using the cosine learning rate schedule for generalization to new tasks?
- Does the cosine learning rate schedule work well with warm-up schedules, and are there specific warm-up strategies that complement it?
- How does the choice of the initial learning rate impact the effectiveness of the cosine learning rate schedule?
- Can the cosine learning rate schedule cause issues when training models with a large number of training steps or epochs, due to the potential for too rapid decay of the learning rate?
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